Gait Variability and Spatiotemporal Parameters During Emotion-Induced Walking: Assessment with Inertial Measurement Units
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Le résumé fourni par la source
Emotion alters the way humans walk, yet most prior studies have relied on laboratory-based 3D motion capture systems. While accurate, these approaches limit translation to real-world settings and have largely focused on spatiotemporal parameters and joint motions. This study evaluated the feasibility of using inertial measurement units (IMUs) to detect emotion-related changes in gait variability as well as spatiotemporal gait parameters. Fourteen healthy young adults completed overground gait trials while wearing two ankle-mounted IMUs. Five target emotions, anger, sadness, neutral emotion, joy, and fear, were elicited using an autobiographical memory paradigm. The IMUs measured stride length, stride time, stride velocity, cadence, and gait variability. The results showed that stride length, stride time, stride velocity, and cadence significantly differed across emotions. Anger and joy were associated with longer strides and faster velocities, while sadness produced slower walking with longer stride times and reduced cadence. Interestingly, gait variability did not differ significantly across emotional states. These findings demonstrate that IMUs can capture emotion specific gait changes previously documented with motion capture, supporting their feasibility for use in natural and clinical contexts. This work advances understanding of how emotions shape gait and highlights the potential of wearable technology for unobtrusive emotion and mobility research.
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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Gait Variability and Spatiotemporal Parameters During Emotion-Induced Walking: Assessment with Inertial Measurement Units
- Date Crossref
- 08/10/2025
- Éditeur
- MDPI AG
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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The University of Texas at Dallas pays non établi dans la noticeUniversité ou école supérieure
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The University of Texas Southwestern Medical Center pays non établi dans la noticeÉtablissement de santé
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Medrobotics (United States) pays non établi dans la noticeEntreprise
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Erik Jonsson School of Engineering and Computer Science Department of Bioengineering pays non établi dans la noticeUniversité ou école supérieure
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School of Natural Sciences and Mathematics Department of Mathematical Sciences pays non établi dans la noticeUniversité ou école supérieure
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School of Health Professions Department of Prosthetics-Orthotics pays non établi dans la noticeUniversité ou école supérieure
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BrainRobotics pays non établi dans la noticeInstitution
The University of Texas at Dallas, The University of Texas Southwestern Medical Center et Medrobotics (United States), avec 4 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.